Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method of recognizing a motion of an object using a dynamic vision sensor configured to detect intensity of light by a movement of the object, the method comprising: generating event signals from the dynamic vision sensor comprising a plurality of sensing elements; storing, in an event map comprising a plurality of map elements corresponding to the plurality of sensing elements, first time information indicating a time at which intensity of light corresponding to the event signals changes; generating a first map image based on second time information corresponding to a first time range among the first time information; generating a second map image based on third time information corresponding to a second time range among the first time information; recognizing the motion of the object based on the first map image and the second map image, and wherein the first time range comprises at least a part of the second time range.
2. The method of claim 1 , wherein the recognizing the motion comprises: determining context information based on the first map image; and recognizing the motion of the object corresponding to the second map image based on the context information.
3. The method of claim 1 , wherein the first time range is wider than the second time range.
4. The method of claim 1 , wherein one end of the first time range and one end of the second time range correspond to an identical point in time.
5. The method of claim 1 , wherein the recognizing the motion of the object comprises recognizing the motion of the object from the first map image and the second map image based on a neural network.
6. The method of claim 1 , wherein the first time information indicates most recently time at which each of the plurality of sensing elements generates at least one of the event signals.
7. The method of claim 1 , wherein the first time information indicates history in which each of the plurality of sensing elements generates at least one of the event signals.
8. The method of claim 1 , wherein the dynamic vision sensor is configured to generate the event signals in response to events in which light is asynchronously changed based on the motion of the object.
9. A device for recognizing a motion of an object, the device comprising: a dynamic vision sensor comprising a plurality of sensing elements configured to generate at least one event signal in response to change in intensity of light based on the motion of the object; and a processor configured to: store, in an event map, first time information indicating a time at which intensity of light corresponding to the at least one event signal is changed; generate a first map image based on second time information corresponding to a first time range among the first time information; generate a second map image based on third time information corresponding to a second time range among the first time information; recognize the motion of the object based on the first map image and the second map image, wherein the first time range comprises at least a part of the second time range.
10. The device of claim 9 , wherein the processor is further configured to: determine context information based on the first map image; and recognize the motion of the object corresponding to the second map image based on the context information.
11. The device of claim 9 , wherein the first time range is wider than the second time range.
12. The device of claim 9 , wherein one end of the first time range and one end of the second time range correspond to an identical point in time.
This invention relates to a system for managing time-based data synchronization between multiple devices. The problem addressed is ensuring accurate alignment of time ranges across distributed systems, where discrepancies can lead to errors in data processing, communication, or event triggering. The device includes a synchronization module that coordinates time ranges between at least two devices. The first time range is associated with a first device, and the second time range is associated with a second device. The synchronization module ensures that one end of the first time range and one end of the second time range correspond to the exact same point in time. This alignment prevents misalignment errors, such as overlapping or gaps in time-sensitive operations like data logging, event scheduling, or real-time communication. The synchronization module may use timestamp matching, clock synchronization protocols, or other time-alignment techniques to enforce this correspondence. The device may also include additional features, such as conflict resolution mechanisms for handling discrepancies or dynamic adjustment of time ranges based on system conditions. The invention is particularly useful in distributed computing environments, IoT networks, or any system requiring precise temporal coordination between devices.
13. The device of claim 9 , wherein the first time information comprises at least one time value at which at least one of the plurality of sensing elements generates the at least one event signal.
14. The device of claim 9 , wherein the first time information comprises at least one result to which a conversion function is applied at a time at which the change in intensity of light corresponding to the at least one event signal.
15. The device of claim 9 , wherein the first time information comprises at least one pixel value in grayscale generated based on at least one time value at which at least one of the plurality of sensing elements generates the at least one event signal.
16. The device of claim 9 , wherein the first time information comprises most recently time at which at least one of the plurality of sensing elements generates the at least one event signal.
A system for monitoring and analyzing events detected by a plurality of sensing elements, such as in industrial or environmental applications, addresses the challenge of efficiently tracking and processing event data over time. The system includes a processing unit configured to receive event signals from the sensing elements and determine the most recent time at which any of the sensing elements generated an event signal. This time information is used to update and maintain a record of the latest event occurrences, enabling real-time or near-real-time monitoring of system status. The processing unit may also compare the event signals against predefined criteria to identify significant events, such as anomalies or threshold breaches, and trigger appropriate responses. The system may further include a communication interface to transmit the event data and time information to a remote monitoring station or control system for further analysis or action. By tracking the most recent event times, the system ensures timely detection and response to critical conditions, improving operational efficiency and safety. The sensing elements may be distributed across a network, and the processing unit may aggregate and synchronize the event data to provide a comprehensive overview of system performance. This approach enhances situational awareness and enables proactive maintenance or intervention.
17. The device of claim 9 , wherein the first time information indicates history in which at least one of the plurality of sensing elements generates the at least one event signal.
18. A device for recognizing a motion of an object, the device comprising: a dynamic vision sensor comprising a plurality of sensing elements configured to generate event signals in response to change in intensity of light based on the motion of the object; and a processor configured to: store, in an event map, first time information indicating a time at which intensity of light corresponding to the event signals are changed; generate a map image based on second time information corresponding to a predetermined time range among the first time information, wherein the map image comprises time values that satisfy the predetermined time range, each of the time values being mapped to a respective position in the map image; and recognize the motion of the object based on the map image, wherein the event map comprises a two-dimensional (2D) map corresponding to the dynamic vision sensor, the 2D map comprising a plurality of map elements corresponding to the plurality of sensing elements, and the event map indicates history in which the plurality of sensing elements generates the event signals.
19. The device of claim 18 , wherein the processor is configured to generate a first map image comprising time information corresponding to a first time range among the first time information and generate a second map image comprising time information corresponding to a second time range among the time information, the first time range comprises at least a part of the second time range.
20. The device of claim 19 , wherein the processor is configured to determine context information based on the first map image and recognize the motion of the object corresponding to the second map image based on the context information.
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April 6, 2021
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